{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/quocanhdo/Monash Uni Enterprise Dropbox/Quoc-Anh Do/Project - Network at Sciences Po/QA - Nicolo/Replication_Package/Replication_Package_vDec1/Results/TableA4.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}28 Dec 2025, 10:10:30
{txt}
{com}. 
. preserve
{txt}
{com}. 
. cap drop sample
{txt}
{com}. quietly reg DiffPPa LUL DiffPP $Xvar 
{txt}
{com}. gen sample=e(sample)
{txt}
{com}. 
. keep if $condition 
{txt}(241,980 observations deleted)

{com}. egen tag_i1=tag(uid_i1)
{txt}
{com}. 
. reg polposnow_i1 polpos_i1 if tag_i1==1

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}       323
{txt}{hline 13}{c +}{hline 34}   F(1, 321)       = {res}   561.82
{txt}       Model {c |} {res} 597.973227         1  597.973227   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res} 341.655256       321  1.06434659   {txt}R-squared       ={res}    0.6364
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.6353
{txt}       Total {c |} {res} 939.628483       322  2.91810088   {txt}Root MSE        =   {res} 1.0317

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}polposnow_i1{col 14}{c |} Coefficient{col 26}  Std. err.{col 38}      t{col 46}   P>|t|{col 54}     [95% con{col 67}f. interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}polpos_i1 {c |}{col 14}{res}{space 2} .7097749{col 26}{space 2} .0299448{col 37}{space 1}   23.70{col 46}{space 3}0.000{col 54}{space 4}  .650862{col 67}{space 3} .7686877
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} 1.434631{col 26}{space 2} .1650352{col 37}{space 1}    8.69{col 46}{space 3}0.000{col 54}{space 4} 1.109944{col 67}{space 3} 1.759318
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. predict resid_i1, resid
{txt}
{com}. gen Dpolpos_i1 = polposnow_i1 - polpos_i1
{txt}
{com}. keep if tag_i1==1
{txt}(52,003 observations deleted)

{com}. *keep sample Dpolpos_i1 polposnow_i1 resid_i1 polpos_i1 IGno_i1 LettFirst_i1 uid_i1 droits_i1 sex_i1 nat1_i1 nat2_i1 admission_i1 program1_i1 program2_i1 parent1_i1 seriebac_i1 mention_i1 departmentbac_i1 regionbac_i1 Codepostal_adressePR_i1
. keep if IGno_i1~=.
{txt}(0 observations deleted)

{com}. 
. 
. cap drop AFirst_i1
{txt}
{com}. egen AFirst_i1 = group(LettFirst_i1)
{txt}
{com}. 
. cap drop 
{txt}
{com}. gen admispr_i1 = (admission_i1==1)
{txt}
{com}. 
. permute AFirst_i1 W_SD_Post=r(w_b_sd_ratio) , reps(300) seed(142857): W_B_SD polpos_i1 AFirst_i1 
{res}{txt}(running {bf:W_B_SD} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_SD} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_SD polpos_i1 AFirst_i1}{p_end}
{p2colset 5 16 20 2}{...}
{p2col :W_SD_Post:}{res:r(w_b_sd_ratio)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
{space 3}W_SD_Post {c |}{res}{space 1} 1.805916      lower     137     300{space 2}.4567{space 2}.0288{space 2}.3993{space 2}.5149
{txt}{col 14}{c |}{res}{space 10}      upper     163     300{space 2}.5433{space 2}.0288{space 2}.4851{space 2}.6007
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.9133{space 2}.0162{space 2}.8815{space 2}.9452
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

{com}. permute AFirst_i1 W_SD_Post=r(w_b_sd_ratio) , reps(300) seed(142857): W_B_SD droits_i1 AFirst_i1 
{res}{txt}(running {bf:W_B_SD} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_SD} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_SD droits_i1 AFirst_i1}{p_end}
{p2colset 5 16 20 2}{...}
{p2col :W_SD_Post:}{res:r(w_b_sd_ratio)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
{space 3}W_SD_Post {c |}{res}{space 1} 1.575697      lower      57     300{space 2}.1900{space 2}.0226{space 2}.1472{space 2}.2390
{txt}{col 14}{c |}{res}{space 10}      upper     243     300{space 2}.8100{space 2}.0226{space 2}.7610{space 2}.8528
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.3800{space 2}.0280{space 2}.3251{space 2}.4349
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

{com}. foreach var in sex admispr {c -(}
{txt}  2{com}.         di ""
{txt}  3{com}.         di "Permutation test for " "`var'"
{txt}  4{com}.         di ""
{txt}  5{com}.         permute AFirst_i1 W_SD_Post=r(w_b_sd_ratio), reps(300) seed(142857): W_B_SD `var'_i1 AFirst_i1
{txt}  6{com}. {c )-}

Permutation test for sex

{res}{txt}(running {bf:W_B_SD} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_SD} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_SD sex_i1 AFirst_i1}{p_end}
{p2colset 5 16 20 2}{...}
{p2col :W_SD_Post:}{res:r(w_b_sd_ratio)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
{space 3}W_SD_Post {c |}{res}{space 1} 1.890641      lower     198     300{space 2}.6600{space 2}.0273{space 2}.6033{space 2}.7135
{txt}{col 14}{c |}{res}{space 10}      upper     102     300{space 2}.3400{space 2}.0273{space 2}.2865{space 2}.3967
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.6800{space 2}.0269{space 2}.6272{space 2}.7328
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

Permutation test for admispr

{res}{txt}(running {bf:W_B_SD} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_SD} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_SD admispr_i1 AFirst_i1}{p_end}
{p2colset 5 16 20 2}{...}
{p2col :W_SD_Post:}{res:r(w_b_sd_ratio)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
{space 3}W_SD_Post {c |}{res}{space 1} 1.433522      lower      68     300{space 2}.2267{space 2}.0242{space 2}.1805{space 2}.2783
{txt}{col 14}{c |}{res}{space 10}      upper     232     300{space 2}.7733{space 2}.0242{space 2}.7217{space 2}.8195
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.4533{space 2}.0287{space 2}.3970{space 2}.5097
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

{com}. 
. 
. *foreach var in sex nat2 admission admispr new_pro1 parent1 seriebac new_depb new_regb new_zip {c -(}
. foreach var in sex nat2 admission admispr program1 parent1 seriebac departmentbac regionbac Codepostal_adressePR {c -(}
{txt}  2{com}.         di ""
{txt}  3{com}.         di "Permutation test for " "`var'"
{txt}  4{com}.         di ""
{txt}  5{com}.         permute AFirst_i1 Within_Between_links =r(W_B_Cat), reps(300) seed(142857): W_B_Cat `var'_i1 AFirst_i1
{txt}  6{com}. {c )-}

Permutation test for sex

{res}{txt}(running {bf:W_B_Cat} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_Cat} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_Cat sex_i1 AFirst_i1}{p_end}
{p2colset 1 16 20 2}{...}
{p2col :Within_Betw~s:}{res:r(W_B_Cat)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
Within_Bet~s {c |}{res}{space 1} 1.890641      lower     204     300{space 2}.6800{space 2}.0269{space 2}.6240{space 2}.7324
{txt}{col 14}{c |}{res}{space 10}      upper      96     300{space 2}.3200{space 2}.0269{space 2}.2676{space 2}.3760
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.6400{space 2}.0277{space 2}.5857{space 2}.6943
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

Permutation test for nat2

{res}{txt}(running {bf:W_B_Cat} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_Cat} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_Cat nat2_i1 AFirst_i1}{p_end}
{p2colset 1 16 20 2}{...}
{p2col :Within_Betw~s:}{res:r(W_B_Cat)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
Within_Bet~s {c |}{res}{space 1} 2.298625      lower     210     300{space 2}.7000{space 2}.0265{space 2}.6447{space 2}.7513
{txt}{col 14}{c |}{res}{space 10}      upper      90     300{space 2}.3000{space 2}.0265{space 2}.2487{space 2}.3553
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.6000{space 2}.0283{space 2}.5446{space 2}.6554
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

Permutation test for admission

{res}{txt}(running {bf:W_B_Cat} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_Cat} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_Cat admission_i1 AFirst_i1}{p_end}
{p2colset 1 16 20 2}{...}
{p2col :Within_Betw~s:}{res:r(W_B_Cat)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
Within_Bet~s {c |}{res}{space 1}  4.33532      lower      57     300{space 2}.1900{space 2}.0226{space 2}.1472{space 2}.2390
{txt}{col 14}{c |}{res}{space 10}      upper     243     300{space 2}.8100{space 2}.0226{space 2}.7610{space 2}.8528
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.3800{space 2}.0280{space 2}.3251{space 2}.4349
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

Permutation test for admispr

{res}{txt}(running {bf:W_B_Cat} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_Cat} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_Cat admispr_i1 AFirst_i1}{p_end}
{p2colset 1 16 20 2}{...}
{p2col :Within_Betw~s:}{res:r(W_B_Cat)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
Within_Bet~s {c |}{res}{space 1} 1.433522      lower      67     300{space 2}.2233{space 2}.0240{space 2}.1775{space 2}.2747
{txt}{col 14}{c |}{res}{space 10}      upper     233     300{space 2}.7767{space 2}.0240{space 2}.7253{space 2}.8225
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.4467{space 2}.0287{space 2}.3904{space 2}.5029
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

Permutation test for program1

{res}{txt}(running {bf:W_B_Cat} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_Cat} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_Cat program1_i1 AFirst_i1}{p_end}
{p2colset 1 16 20 2}{...}
{p2col :Within_Betw~s:}{res:r(W_B_Cat)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
Within_Bet~s {c |}{res}{space 1} 3.081145      lower     210     300{space 2}.7000{space 2}.0265{space 2}.6447{space 2}.7513
{txt}{col 14}{c |}{res}{space 10}      upper      90     300{space 2}.3000{space 2}.0265{space 2}.2487{space 2}.3553
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.6000{space 2}.0283{space 2}.5446{space 2}.6554
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

Permutation test for parent1

{res}{txt}(running {bf:W_B_Cat} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_Cat} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_Cat parent1_i1 AFirst_i1}{p_end}
{p2colset 1 16 20 2}{...}
{p2col :Within_Betw~s:}{res:r(W_B_Cat)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
Within_Bet~s {c |}{res}{space 1} 4.430617      lower     178     300{space 2}.5933{space 2}.0284{space 2}.5354{space 2}.6494
{txt}{col 14}{c |}{res}{space 10}      upper     122     300{space 2}.4067{space 2}.0284{space 2}.3506{space 2}.4646
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.8133{space 2}.0225{space 2}.7692{space 2}.8574
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

Permutation test for seriebac

{res}{txt}(running {bf:W_B_Cat} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_Cat} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_Cat seriebac_i1 AFirst_i1}{p_end}
{p2colset 1 16 20 2}{...}
{p2col :Within_Betw~s:}{res:r(W_B_Cat)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
Within_Bet~s {c |}{res}{space 1} 2.797282      lower      38     300{space 2}.1267{space 2}.0192{space 2}.0912{space 2}.1697
{txt}{col 14}{c |}{res}{space 10}      upper     262     300{space 2}.8733{space 2}.0192{space 2}.8303{space 2}.9088
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.2533{space 2}.0251{space 2}.2041{space 2}.3025
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

Permutation test for departmentbac

{res}{txt}(running {bf:W_B_Cat} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_Cat} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_Cat departmentbac_i1 AFirst_i1}{p_end}
{p2colset 1 16 20 2}{...}
{p2col :Within_Betw~s:}{res:r(W_B_Cat)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
Within_Bet~s {c |}{res}{space 1} 5.871582      lower     257     300{space 2}.8567{space 2}.0202{space 2}.8118{space 2}.8943
{txt}{col 14}{c |}{res}{space 10}      upper      43     300{space 2}.1433{space 2}.0202{space 2}.1057{space 2}.1882
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.2867{space 2}.0261{space 2}.2355{space 2}.3378
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

Permutation test for regionbac

{res}{txt}(running {bf:W_B_Cat} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_Cat} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_Cat regionbac_i1 AFirst_i1}{p_end}
{p2colset 1 16 20 2}{...}
{p2col :Within_Betw~s:}{res:r(W_B_Cat)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
Within_Bet~s {c |}{res}{space 1} 4.621882      lower     228     300{space 2}.7600{space 2}.0247{space 2}.7076{space 2}.8072
{txt}{col 14}{c |}{res}{space 10}      upper      72     300{space 2}.2400{space 2}.0247{space 2}.1928{space 2}.2924
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.4800{space 2}.0288{space 2}.4235{space 2}.5365
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

Permutation test for Codepostal_adressePR

{res}{txt}(running {bf:W_B_Cat} on estimation sample)

{p 0 9 2}
warning: {bf:W_B_Cat} does not set {bf:e(sample)}, so no 
observations will be excluded from the permutations because of 
missing values or other reasons. To exclude observations, press 
Break, save the data, drop any observations that are to be excluded, 
and rerun {bf:permute}.{p_end}
{res}
{text}Permutations ({result:300}){text}: {res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}10{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}20{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}30{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}40{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}50{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}60{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}70{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}80{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}90{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}100{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}110{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}120{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}130{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}140{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}150{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}160{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}170{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}180{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}190{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}200{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}210{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}220{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}230{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}240{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}250{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}260{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}270{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}280{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}290{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}.{res}{text}300{text} done
{res}
{txt}Monte Carlo permutation results{col 52}Number of observations = {res}323
{txt}Permutation variable: {res}AFirst_i1{txt}{col 52}Number of permutations = {res}300
{p2colset 7 16 20 2}{...}

{txt}{p2col :Command:}{res:W_B_Cat Codepostal_adressePR_i1 AFirst_i1}{p_end}
{p2colset 1 16 20 2}{...}
{p2col :Within_Betw~s:}{res:r(W_B_Cat)}{p_end}

{hline 13}{c TT}{hline 65}
{col 14}{c |}{col 62}{help j_permute_error:Monte Carlo error}
{col 14}{c |}{col 61}{hline 19}
{col 12}T{col 14}{c |}{col 19}T(obs){col 32}Test{col 43}c{col 51}n{col 58}p{col 61}SE(p)   [95% CI(p)]
{hline 13}{c +}{hline 65}
Within_Bet~s {c |}{res}{space 1} 6.799923      lower      88     300{space 2}.2933{space 2}.0263{space 2}.2424{space 2}.3484
{txt}{col 14}{c |}{res}{space 10}      upper     212     300{space 2}.7067{space 2}.0263{space 2}.6516{space 2}.7576
{txt}{col 14}{c |}{res}{space 10}  two-sided{space 16}{space 2}.5867{space 2}.0284{space 2}.5309{space 2}.6424
{txt}{hline 13}{c BT}{hline 65}
Notes: For lower one-sided test, c = #{T <= T(obs)} and p = p_lower = c/n.
       For upper one-sided test, c = #{T >= T(obs)} and p = p_upper = c/n.
       For two-sided test, p = 2*min(p_lower, p_upper); SE and CI {help j_permute_approx:approximate}.

{com}. 
. 
. restore
{txt}
{com}. 
. log close  // Table A4
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/quocanhdo/Monash Uni Enterprise Dropbox/Quoc-Anh Do/Project - Network at Sciences Po/QA - Nicolo/Replication_Package/Replication_Package_vDec1/Results/TableA4.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}28 Dec 2025, 10:12:18
{txt}{.-}
{smcl}
{txt}{sf}{ul off}